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A 0.05 degree global climate/interdisciplinary long term data set from AVHRR, MODIS and VIIRS instruments
Principal Investigators:
Stephen D. Prince, Eric Vermote, Edward Masuoka (GSFC), Nazmi Saleous (GSFC), Jeffrey Privette (GSFC), Compton Tucker (GSFC), Jorge Pinzon (GSFC), David Roy (SDSU)
A consistent long record of remote sensing data is crucial for trend analysis in climate studies. With the longest record starting in 1981, the AVHRR data set is of unique importance. Unfortunately, the existing AVHRR Pathfinder data set suffers from outdated calibration and only partial correction for the atmosphere. MODIS with its accurate onboard calibration approach and superior spectral characteristics has advanced our understanding of atmospheric effects that lead to a potential for improvements in the atmospheric correction process that can be applied to AVHRR.
This project will:
1) Create an improved AVHRR data set for the full record of AVHRR data starting in 1981, by applying the preprocessing improvements identified in the AVHRR Pathfinder II project and the atmospheric and BRDF corrections used in MODIS preprocessing;
2) Create an equivalent MODIS data set and use the AVHRR/MODIS overlap period to asses the uncertainties in the AVHRR data set and to address data continuity issues; and
3) Apply the same approach to study the MODIS/VIIRS continuity as VIIRS data becomes available.
The science user community's input on requirements,
algorithms used in processing and evaluation of the produced data
sets is being sought through workshops organized by Dr. Prince.
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| Department of Geography,
2181 LeFrak Hall, University of Maryland, College Park MD 20742 Phone: 01-301-405-4050 Fax: 01-301-0314-9299 © 2006, All Rights Reserved |
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